@inproceedings{20689, abstract = {This paper studies the expected value of multiplicative rewards, where rewards obtained in each step are multiplied (instead of the usual addition), in Markov chains (MCs) and Markov decision processes (MDPs). One of the key differences to additive rewards is that the expected value may diverge to ∞ not only due to recurrent, but also due to transient states.For MCs, computing the value is shown to be possible in polynomial time given an oracle for the comparison of succinctly represented integers (CSRI), which is only known to be solvable in polynomial time subject to number-theoretic conjectures. Interestingly, distinguishing whether the value is ∞ or 0 is at least as hard as CSRI, while determining if it is one of these two can be done in polynomial time. In MDPs, the optimal value can be computed in polynomial space. Further refined complexity results and results on the complexity of optimal schedulers are presented. The techniques developed for MDPs additionally allow to solve the multiplicative variant of the stochastic shortest path problem. Finally, for MCs and MDPs where an absorbing state is reached almost surely, all considered problems are solvable in polynomial time.}, author = {Baier, Christel and Chatterjee, Krishnendu and Meggendorfer, Tobias and Piribauer, Jakob}, booktitle = {2025 40th Annual ACM/IEEE Symposium on Logic in Computer Science}, location = {Singapore, Singapore}, pages = {499--512}, publisher = {IEEE}, title = {{Multiplicative rewards in Markovian models}}, doi = {10.1109/lics65433.2025.00044}, year = {2025}, } @inproceedings{20690, abstract = {Cumulative prospect theory (CPT) is the first theory for decision-making under uncertainty that combines full theoretical soundness and empirically realistic features [1], [Page 2]. While CPT was originally considered in one-shot settings for risk-aware decision-making, we consider CPT in sequential decision-making. The most fundamental and well-studied models for sequential decision-making are Markov chains (MCs), and their generalization Markov decision processes (MDPs). The complexity theoretic study of MCs and MDPs with CPT is a fundamental problem that has not been addressed in the literature.Our contributions are as follows: First, we present an alternative viewpoint for the CPT-value of MCs and MDPs. This allows us to establish a connection with multi-objective reachability analysis and conclude the strategy complexity result that memoryless randomized strategies are necessary and sufficient for optimality. Second, based on this connection, we provide an algorithm for computing the CPT-value in MDPs with infinite-horizon objectives. We show that the problem is in EXPTIME and fixed-parameter tractable. Moreover, we provide a polynomial-time algorithm for the special case of MCs.}, author = {Brihaye, Thomas and Chatterjee, Krishnendu and Mohr, Stefanie and Weininger, Maximilian}, booktitle = {2025 40th Annual ACM/IEEE Symposium on Logic in Computer Science}, location = {Singapore, Singapore}, pages = {458--471}, publisher = {IEEE}, title = {{Risk-aware Markov decision processes using cumulative prospect theory}}, doi = {10.1109/lics65433.2025.00041}, year = {2025}, } @article{20702, abstract = {Qualitative and quantitative orbital properties such as bonding/antibonding character, localization, and orbital energies are critical to how chemists understand reactivity, catalysis, and excited-state behavior. Despite this, representations of orbitals in deep learning models have been very underdeveloped relative to representations of molecular geometries and Hamiltonians. Here, we apply state-of-the-art equivariant deep learning architectures to the task of assigning global labels to orbitals, namely energies characterizations, given the molecular coefficients from Hartree–Fock or density functional theory. The architecture we have developed, the Cartesian Equivariant Orbital Network (CEONET), shows how molecular orbital coefficients are readily featurized as equivariant node features common to all graph-based machine-learned potentials. We find that CEONET performs well at predicting difficult quantitative labels such as the orbital energy and orbital entropy. Furthermore, we find that the CEONET representation provides an intuitive latent space for differentiating orbital character for the qualitative assignment of e.g. bonding or antibonding character. In addition to providing a useful representation for further integrating deep learning with electronic structure theory, we expect CEONET to be useful for automatizing and interpreting the results of advanced electronic structure methods such as complete active space self-consistent field theory. In particular, the ability of CEONET to infer multireference character via the orbital entropy paves the way toward the machine-learned selection of active spaces.}, author = {King, Daniel S. and Grzenda, Daniel and Zhu, Ray and Hudson, Nathaniel and Foster, Ian and Cheng, Bingqing and Gagliardi, Laura}, issn = {1091-6490}, journal = {Proceedings of the National Academy of Sciences}, number = {48}, publisher = {National Academy of Sciences}, title = {{Cartesian equivariant representations for learning and understanding molecular orbitals}}, doi = {10.1073/pnas.2510235122}, volume = {122}, year = {2025}, } @article{20704, abstract = {Generative models have advanced significantly in sampling material systems with continuous variables, such as atomistic structures. However, their application to discrete variables, like atom types or spin states, remains underexplored. In this work, we introduce a discrete flow matching model, tailored for systems with discrete phase-space coordinates (e.g., the Ising model or a multicomponent system on a lattice). This approach enables a single model to sample free energy surfaces over a wide temperature range with minimal training overhead, and the model generation is scalable to larger lattice sizes than those in the training set. We demonstrate our approach on the 2D Ising model, showing efficient and reliable free energy sampling. These results highlight the potential of flow matching for low-cost, scalable free energy sampling in discrete systems and suggest promising extensions to alchemical degrees of freedom in crystalline materials. The codebase developed for this work is openly available at https://github.com/tuoping/alchemicalFES.}, author = {Tuo, Ping and Zeng, Zezhu and Chen, Jiale and Cheng, Bingqing}, issn = {1549-9626}, journal = {Journal of Chemical Theory and Computation}, number = {22}, pages = {11427--11435}, publisher = {American Chemical Society}, title = {{Scalable multitemperature free energy sampling of classical Ising spin states}}, doi = {10.1021/acs.jctc.5c01248}, volume = {21}, year = {2025}, } @article{20706, abstract = {We experimentally realize a quantum clock by using a charge sensor to count charges tunneling through a double quantum dot (DQD). Individual tunneling events are used as the clock’s ticks. We quantify the clock’s precision while measuring the power dissipated by the DQD and, separately, the charge sensor in both direct-current and radio-frequency readout modes. This allows us to probe the thermodynamic cost of creating ticks microscopically and recording them macroscopically. Our experiment is the first to explore the interplay between the entropy produced by a microscopic clockwork and its macroscopic measurement apparatus. We show that the latter contribution not only dwarfs the former but also unlocks greatly increased precision, because the measurement record can be exploited to optimally estimate time even when the DQD is at equilibrium. Our results suggest that the entropy produced by the amplification and measurement of a clock’s ticks, which has often been ignored in the literature, is the most important and fundamental thermodynamic cost of timekeeping at the quantum scale.}, author = {Wadhia, Vivek and Meier, Florian and Fedele, Federico and Silva, Ralph and Nurgalieva, Nuriya and Craig, David L. and Jirovec, Daniel and Saez Mollejo, Jaime and Ballabio, Andrea and Chrastina, Daniel and Isella, Giovanni and Huber, Marcus and Mitchison, Mark T. and Erker, Paul and Ares, Natalia}, issn = {1079-7114}, journal = {Physical Review Letters}, number = {20}, publisher = {American Physical Society}, title = {{Entropic costs of extracting classical ticks from a quantum clock}}, doi = {10.1103/5rtj-djfk}, volume = {135}, year = {2025}, } @inproceedings{20707, abstract = {Understanding physiological responses during running is critical for performance optimization, tailored training prescriptions, and athlete health management. We introduce a comprehensive framework—what we believe to be the first capable of predicting instantaneous oxygen consumption (VO2) trajectories exclusively from consumer-grade wearable data. Our approach employs two complementary physiological models: (1) accurate modeling of heart rate (HR) dynamics via a physiologically constrained ordinary differential equation (ODE) and neural Kalman filter, trained on over 3 million HR observations, achieving 1-second interval predictions with mean absolute errors as low as 2.81 bpm (correlation 0.87); and (2) leveraging the principles of precise HR modeling, a novel VO2 prediction architecture requiring only the initial second of VO2 data for calibration, enabling robust, sequence-to-sequence metabolic demand estimation. Despite relying solely on smartwatch and chest-strap data, our method achieves mean absolute percentage errors of approximately 13%, effectively capturing rapid physiological transitions and steady-state conditions across diverse running intensities. Our synchronized dataset, complemented by blood lactate measurements, further lays the foundation for future noninvasive metabolic zone identification. By embedding physiological constraints within modern machine learning, this framework democratizes advanced metabolic monitoring, bridging laboratory-grade accuracy and everyday accessibility, thus empowering both elite athletes and recreational fitness enthusiasts.}, author = {Gahtan, Barak and Vedula, Sanketh and Samuelly Leichtag, Gil and Kodesh, Einat and Bronstein, Alexander}, booktitle = {Proceedings of the 27th International Conference on Multimodal Interaction}, isbn = {9798400714993}, location = {Canberra, Australia}, pages = {60--77}, publisher = {Association for Computing Machinery}, title = {{From lab to wrist: Bridging metabolic monitoring and consumer wearables for heart rate and oxygen consumption modeling}}, doi = {10.1145/3716553.3750815}, year = {2025}, } @article{20708, abstract = {In equilibrium, the physical properties of matter are set by the interactions between the constituents. In contrast, the energy input of the individual components controls the behavior of synthetic or living active matter. Great progress has been made in understanding the emergent phenomena in active fluids, though their inability to resist shear forces hinders their practical use. This motivates the exploration of active solids as shape-shifting materials, yet, we lack controlled synthetic systems to devise active solids with unconventional properties. Here we build active elastic beams from dozens of active colloids and unveil complex emergent behaviors such as self-oscillations or persistent rotations. Developing tensile tests at the microscale, we show that the active beams are ultrasoft materials, with large (nonequilibrium) fluctuations. Combining experiments, theory, and stochastic inference, we show that the dynamics of the active beams can be mapped on different phase transitions which are tuned by boundary conditions. More quantitatively, we assess all relevant parameters by independent measurements or first-principles calculations, and find that our theoretical description agrees with the experimental observations. Our results demonstrate that the simple addition of activity to an elastic beam unveils novel physics and can inspire design strategies for active solids and functional microscopic machines.}, author = {Martinet, Quentin and Li, Yuting I and Aubret, A. and Hannezo, Edouard B and Palacci, Jérémie A}, issn = {2160-3308}, journal = {Physical Review X}, number = {4}, publisher = {American Physical Society}, title = {{Emergent dynamics of active elastic microbeams}}, doi = {10.1103/rjk2-q2wh}, volume = {15}, year = {2025}, } @article{20709, abstract = {Non-Hermitian many-body localization (NH MBL) has emerged as a possible scenario for stable localization in open systems, as suggested by spectral indicators identifying a putative transition for finite system sizes. In this work, we shift the focus to dynamical probes, specifically the steady-state spin current, to investigate transport properties in a disordered, non-Hermitian XXZ spin chain. Through exact diagonalization for small systems and tensor-network methods for larger chains, we demonstrate that the steady-state current remains finite and decays exponentially with disorder strength, showing no evidence of a transition up to disorder values far beyond the previously claimed critical point. Our results reveal a stark discrepancy between spectral indicators, which suggest localization, and transport behavior, which indicates delocalization. This highlights the importance of dynamical observables in characterizing NH MBL and suggests that traditional spectral measures may not fully capture the physics of non-Hermitian systems. Additionally, we observe a noncommutativity of limits in system size and time, further complicating the interpretation of finite-size studies. These findings challenge the existence of NH MBL in the studied model and underscore the need for alternative approaches to understanding localization in non-Hermitian settings.}, author = {Brighi, Pietro and Ljubotina, Marko and Roccati, Federico and Balducci, Federico}, issn = {2643-1564}, journal = {Physical Review Research}, number = {4}, publisher = {American Physical Society}, title = {{Finite steady-state current defies non-Hermitian many-body localization}}, doi = {10.1103/crwj-x7j8}, volume = {7}, year = {2025}, } @article{20710, abstract = {Mountain glaciers offer opportunities to observe boundary layer exchanges in conditions characterized by predominantly stable stratification, thermally driven winds, and varying surface roughness. Logistical challenges involved in instrumenting glacier surfaces mean that in situ observations remain relatively scarce, limiting the use of this outdoor laboratory. The second Hintereisferner Experiment (HEFEX II) was carried out on an Austrian Alpine glacier during summer 2023. This collaborative endeavor, involving 12 institutions from Austria, France, Germany, Switzerland, and the United Kingdom, represents an unprecedented set of observations of glacier microclimate. Instrumentation on the glacier surface consisted of eight 3-m and two 5-m weather stations equipped with multilevel eddy covariance systems and auxiliary instrumentation, and eight additional lower-specification weather stations. These operated successfully for 26 days with minimal data gaps. During a 3-day intensive observational period, additional instrumentation was deployed: a short-path ultrasonic anemometer installed very close to the glacier surface; a high-speed thermal camera capturing high-resolution boundary layer heat transport at the glacier centerline on a synthetic screen; 3D sampling of the glacier boundary layer using two meteorological UAVs; and a Streamline XR Doppler lidar capturing the structure of the above-valley atmosphere. These novel datasets are valuable for improving understanding of glacier–atmosphere exchange processes, the role of glaciers in valley circulation, and how both might be affected by continued climate change and glacier recession. Here, we detail the scientific goals and implementation of the campaign, describe the general weather conditions, and present first insights into what the observations reveal about the glacier boundary layer features observed during the campaign.}, author = {Nicholson, Lindsey and Stiperski, Ivana and Nitti, Giordano and Prinz, Rainer and Georgi, Alexander and Groos, Alexander R. and Shaw, Thomas and Sauter, Tobias and Haugeneder, Michael and Mott, Rebecca and Sicart, Jean Emmanuel and Brock, Ben W. and Albers, Roland and Allegri, Balthazar and Barral, Hélène and Biron, Romain and Charrondiere, Claudine and Coulaud, Catherine and Fischer, Alexander and Reynolds, Dylan and Richter, Niklas and Schroeder, Marie and Vettori, Phillip and Voordendag, Annelies and Wydra, Carlos}, issn = {1520-0477}, journal = {Bulletin of the American Meteorological Society}, number = {10}, pages = {E2143--E2169}, publisher = {American Meteorological Society}, title = {{The second Hintereisferner experiment (HEFEX II): Initial insights into boundary layer structure and surface–atmosphere exchange processes from intensive observations at a valley glacier}}, doi = {10.1175/BAMS-D-24-0010.1}, volume = {106}, year = {2025}, } @inbook{20723, abstract = {Information-flow interfaces is a formalism recently proposed for specifying, composing, and refining system-wide security requirements. In this work, we show how the widely used concept of security lattices provides a natural semantic interpretation for information-flow interfaces.}, author = {Bartocci, Ezio and Henzinger, Thomas A and Nickovic, Dejan and Oliveira da Costa, Ana}, booktitle = {Engineering Safe and Trustworthy Cyber Physical Systems}, isbn = {9783031975363}, issn = {1611-3349}, pages = {251--263}, publisher = {Springer Nature}, title = {{Information-Flow Interfaces and Security Lattices}}, doi = {10.1007/978-3-031-97537-0_15}, volume = {15471}, year = {2025}, } @article{20725, abstract = {The canonical mechanism by which the phytohormone auxin regulates transcription has been one of the cornerstones of plant signaling. The recent unexpected discovery of cyclic AMP (cAMP) as a second messenger in this pathway has revised its foundations while leaving many open questions and gaps in our understanding; these will be discussed in this forum article.}, author = {Friml, Jiří}, issn = {1878-4372}, journal = {Trends in Plant Science}, pages = {S1360--1385(25)00300--0}, publisher = {Elsevier}, title = {{Role of cAMP in TIR1/AFB auxin signaling: Open issues}}, doi = {10.1016/j.tplants.2025.10.018}, year = {2025}, } @article{20728, abstract = {Glaciers are often located in steep mountain settings and avalanches from surrounding slopes can strongly influence snow accumulation patterns on their surface. This effect has however never been quantified for more than a few glaciers and the impact on the future evolution of glaciers is unclear. We coupled an avalanche and a glacier model to estimate the contribution of avalanches to the accumulation of all glaciers in the world and how this affects their evolution throughout the 21st century. Globally, 3% of the snow accumulation on glaciers comes from avalanches and 1% is removed by avalanches. This net contribution varies between regions and glaciers, with a maximum of 15% for New Zealand. Accounting for avalanches modifies the altitudinal pattern of glacier mass balance and the projected evolution of individual glaciers. The main effects include (1) a longer persistence of small glaciers, with for example three times more ice retained by glaciers smaller than 1 km2 in Central Europe under a low-emission scenario, and (2) an increased sensitivity of high-elevation accumulation zones to future warming. We anticipate the relative influence of avalanches to increase in the future and advocate for a better monitoring of this process and representation in glacier models.}, author = {Kneib, Marin and Maussion, Fabien and Brun, Fanny and Carcanade, Guillem and Farinotti, Daniel and Huss, Matthias and Van Tiel, Marit and Jouberton, Achille and Schmitt, Patrick and Schuster, Lilian and Dehecq, Amaury and Champollion, Nicolas}, issn = {2041-1723}, journal = {Nature Communications}, publisher = {Springer Nature}, title = {{Topographically-controlled contribution of avalanches to glacier mass balance in the 21st century}}, doi = {10.1038/s41467-025-65608-z}, volume = {16}, year = {2025}, } @inproceedings{20729, abstract = {Persistence modules (defined as a sequence of vector spaces and linear maps between them) are a key tool in topological data analysis. They are easy to interpret and fast to compute. However, when considering persistence maps (i.e. maps between persistence modules), these properties are lost. We propose a new invariant for persistence maps consisting of a partial matching such that: it is easy to interpret, it is more discriminative than the image of the persistence map, and can be calculated with cubical complexity.}, author = {Gonzalez-Diaz, Rocio and Soriano Trigueros, Manuel and Torras-Casas, Alvaro}, booktitle = {Proceedings of the 2025 International Symposium on Symbolic and Algebraic Computation}, isbn = {9798400720758}, location = {Guanajuato, Mexico}, pages = {188--196}, publisher = {Association for Computing Machinery}, title = {{Additive partial matchings for persistent homology}}, doi = {10.1145/3747199.3747561}, year = {2025}, } @article{20730, abstract = {Radio-frequency measurements could satisfy DiVincenzo’s readout criterion in future large-scale solid-state quantum processors, as they allow for high bandwidths and frequency multiplexing. However, the scalability potential of this readout technique can only be leveraged if quantum device tuning is performed using exclusively radio-frequency measurements, that is, without resorting to current measurements. We demonstrate an algorithm that performs automatic coarse tuning of double quantum dots with only radio-frequency measurements by exploiting their bandwidth and impedance matching. The tuning was completed within a few minutes with minimal prior knowledge about the device. Our results show that it is possible to eliminate the need for transport measurements for quantum-dot tuning, paving the way for more scalable device architectures.}, author = {Van Straaten, Barnaby and Fedele, Federico and Vigneau, Florian and Hickie, Joseph and Jirovec, Daniel and Ballabio, Andrea and Chrastina, Daniel and Isella, Giovanni and Katsaros, Georgios and Ares, Natalia}, issn = {2331-7019}, journal = {Physical Review Applied}, number = {5}, publisher = {American Physical Society}, title = {{All-rf-based coarse-tuning algorithm for quantum devices using machine learning}}, doi = {10.1103/v11m-dbhm}, volume = {24}, year = {2025}, } @article{20731, abstract = {The adult human brain, under resting conditions, consumes approximately 20% of total body glucose, a demand that is even higher during the first decade of life. The brain metabolic landscape is intricately regulated throughout development, and each cell type exhibits distinct metabolic signatures at each specific stage. This picture becomes even more intricate when considering that metabolism is dynamically modulated to sustain critical biological processes, such as cell proliferation and differentiation and synaptic activity–dependent processes. The orchestration between metabolic regulation and the aforementioned physiological processes often relies on metabolism-dependent changes in the epigenetic landscape, which shape gene expression patterns to trigger selected downstream biological responses. Perturbations of brain metabolic pathways are frequently the cause of severe neurodevelopmental disorders. This review explores the latest insights into the regulation of brain metabolism in health and disease.}, author = {Marano, Domenico and Mariano, Vittoria and Novarino, Gaia}, issn = {1545-2948}, journal = {Annual Review of Genetics}, pages = {415--434}, publisher = {Annual Reviews}, title = {{Fueling the mind: Brain metabolism in health and neurodevelopmental disorders}}, doi = {10.1146/annurev-genet-111523-102424}, volume = {59}, year = {2025}, } @article{20732, abstract = {We investigate the real-time dynamics of a quenched quantum impurity immersed in a one-dimensional ultracold Fermi gas, focusing on the breakdown of the adiabatic Born-Oppenheimer approximation due to nonadiabatic effects. Despite a sizable impurity-bath mass imbalance, increasing interactions induce strong nonadiabatic couplings, disrupting adiabatic motion and enabling population transfer between the adiabatic potential energy curves. These transitions are governed by conical intersections arising from the pseudo Jahn-Teller effect, dynamically shaping the impurity's motion through the bath. Using ab initio simulations via the multilayer multiconfiguration time-dependent Hartree method and a multichannel Born-Oppenheimer framework, we track the impurity's evolution and directly prove the dynamical manifestation of the pseudo Jahn-Teller effect. We analyze two key scenarios: (i) a small initial shift, where a single avoided crossing drives transitions, and (ii) a large shift, where multiple avoided crossings lead to enhanced nonadiabaticity, self-trapping, and energy redistribution. Our findings establish ultracold fermionic few-body systems as tunable platforms for studying nonadiabatic quantum dynamics, opening new avenues for controlled impurity transport in strongly correlated environments.}, author = {Becker, A. and Koutentakis, Georgios and Schmelcher, P.}, issn = {2643-1564}, journal = {Physical Review Research}, number = {3}, publisher = {American Physical Society}, title = {{Dynamical probe of the pseudo Jahn-Teller effect in one-dimensional confined fermions}}, doi = {10.1103/2fr6-b59y}, volume = {7}, year = {2025}, } @article{20733, abstract = {The conversion of thermal energy into work is usually more efficient in the slow-driving regime, where the power output is vanishingly small. Efficient work extraction for fast-driving protocols remains an outstanding challenge at the nanoscale, where fluctuations play a significant role. In this Letter, we use a quantum-dot Szilard engine to extract work from thermal fluctuations with maximum efficiency over two decades of driving speed. We design and implement a family of optimized protocols ranging from the slow- to the fast-driving regime, and we measure the engine's efficiency as well as the mean and variance of its power output in each case. These optimized protocols exhibit significant improvements in power and efficiency compared to the naive approach. Our results also show that, when optimizing for efficiency, boosting the power output of a Szilard engine inevitably comes at the cost of increased power fluctuations.}, author = {Aggarwal, Kushagra and Rolandi, Alberto and Yang, Yikai and Hickie, Joseph and Jirovec, Daniel and Ballabio, Andrea and Chrastina, Daniel and Isella, Giovanni and Mitchison, Mark T. and Perarnau-Llobet, Martí and Ares, Natalia}, issn = {2643-1564}, journal = {Physical Review Research}, number = {3}, publisher = {American Physical Society}, title = {{Rapid optimal work extraction from a quantum-dot information engine}}, doi = {10.1103/q3dx-kyqj}, volume = {7}, year = {2025}, } @article{20734, abstract = {We consider the problem of parameter estimation in a high-dimensional generalized linear model. Spectral methods obtained via the principal eigenvector of a suitable data-dependent matrix provide a simple yet surprisingly effective solution. However, despite their wide use, a rigorous performance characterization, as well as a principled way to preprocess the data, are available only for unstructured (i.i.d. Gaussian and Haar orthogonal) designs. In contrast, real-world data matrices are highly structured and exhibit non-trivial correlations. To address the problem, we consider correlated Gaussian designs capturing the anisotropic nature of the features via a covariance matrix Σ. Our main result is a precise asymptotic characterization of the performance of spectral estimators. This allows us to identify the optimal preprocessing that minimizes the number of samples needed for parameter estimation. Surprisingly, such preprocessing is universal across a broad set of designs, which partly addresses a conjecture on optimal spectral estimators for rotationally invariant models. Our principled approach vastly improves upon previous heuristic methods, including for designs common in computational imaging and genetics. The proposed methodology, based on approximate message passing, is broadly applicable and opens the way to the precise characterization of spiked matrices and of the corresponding spectral methods in a variety of settings.}, author = {Zhang, Yihan and Ji, Hong Chang and Venkataramanan, Ramji and Mondelli, Marco}, issn = {2520-2324}, journal = {Mathematical Statistics and Learning}, number = {3-4}, pages = {193--304}, publisher = {EMS Press}, title = {{Spectral estimators for structured generalized linear models via approximate message passing}}, doi = {10.4171/MSL/52}, volume = {8}, year = {2025}, } @misc{20750, author = {Van Straaten, Barnaby and Fedele, Federico and Vigneau, Florian and Hickie, Joseph and Jirovec, Daniel and Chrastina, Daniel and Isella, Giovanni and Ares, Natalia}, publisher = {Zenodo}, title = {{All rf-based tuning algorithm for quantum devices using machine learning}}, doi = {10.5281/ZENODO.17352653}, year = {2025}, } @article{20767, abstract = {Chemistry education at the graduate level and beyond faces the formidable challenge of a boundless and constantly expanding frontier of knowledge on many fronts. While modern learners have an increasingly broad range of resources available at their disposal (including open access text-based references, online videos, training problems, and other digital learning materials), there are comparatively fewer such materials aimed at the highest levels of study. With the goal of producing widely accessible graduate-level learning content, we created a community-based approach to online course design that is easily digestible to meet the expectations of modern learners. Herein, we report the development of an open access Advanced Organic Chemistry video-based online course and several other specialized minicourses using the Synthesis Workshop YouTube channel.}, author = {Horwitz, Matthew A. and Al-Ahmad, Reem and Bai, Xingfeng and Balletti, Matteo and Bellotti, Peter and Ben-Tal, Yael and Campbell, Mark W. and Cheasty, Kathleen and Crossley, Steven W. M. and Day, Craig S. and Deneny, Patrick J. and Forbes, Katherine C. and Gogarnoiu, Emma S. and Grant, Phillip S. and Halder, Riya and Harris, Georgia R. and Hernández-Lladó, Pol and Jouanneau, Morgan and Jost, Vera and Kutateladze, Dennis A. and Laudadio, Gabriele and Liu, Chun and Looby, Aidan P. and Maestro, Aitor and McCallum, Terry and Palkowitz, Maximilian D. and Paolillo, Joshua M. and Perry, Matthew W. D. and Reisenbauer, Julia and Reyes, Cesar and Sharma, Hayden A. and Sheong, Fu Kit and Thoma, Benjamin and Tran, Andrew V. and Tran, Duc N. and Aguilar Troyano, Francisco José and Verheyen, Thomas and Walsh, Mark P. and Wagner, Alicia and Wearing, Emily R. and Wuitschik, Georg}, issn = {1938-1328}, journal = {Journal of Chemical Education}, number = {9}, pages = {3777--3783}, publisher = {American Chemical Society}, title = {{Reimagining advanced chemistry education: A community-based approach to course design for modern learners}}, doi = {10.1021/acs.jchemed.5c00555}, volume = {102}, year = {2025}, }