An analytical approximation of urban heat and dry islands and their impact on convection triggering
C.T.F. Chiu, K. Wang, A. Paschalis, T. Erfani, N. Peleg, S. Fatichi, N. Theeuwes, G. Manoli, Urban Climate 46 (2022).

High-pressure phase behaviors of titanium dioxide revealed by a -learning potential
J.G. Lee, C.J. Pickard, B. Cheng, The Journal of Chemical Physics 156 (2022).

BenchML: An extensible pipelining framework for benchmarking representations of materials and molecules at scale
C. Poelking, F.A. Faber, B. Cheng, Machine Learning: Science and Technology 3 (2022).

Computing chemical potentials of solutions from structure factors
B. Cheng, The Journal of Chemical Physics 157 (2022).

Thermodynamics of high-pressure ice phases explored with atomistic simulations
A. Reinhardt, M. Bethkenhagen, F. Coppari, M. Millot, S. Hamel, B. Cheng, Nature Communications 13 (2022).

Ranking the information content of distance measures
A. Glielmo, C. Zeni, B. Cheng, G. Csanyi, A. Laio, PNAS Nexus 1 (2022).

Solution-processed inorganic thermoelectric materials: Opportunities and challenges 
C. Fiedler, T. Kleinhanns, M. Garcia, S. Lee, M. Calcabrini, M. Ibáñez, Chemistry of Materials 34 (2022) 8471–8489.

Gradient flow formulation of diffusion equations in the Wasserstein space over a metric graph
M. Erbar, D.L. Forkert, J. Maas, D. Mugnolo, Networks and Heterogeneous Media 17 (2022) 687–717.

How well do sparse ImageNet models transfer?
E.B. Iofinova, A. Krumes, M. Kurtz, D.-A. Alistarh, in:, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, IEEE, 2022, pp. 12256–12266.

Lightweight conditional model extrapolation for streaming data under class-prior shift
P. Tomaszewska, C. Lampert, in:, 26th International Conference on Pattern Recognition, IEEE, 2022, pp. 2128–2134.

Hierarchical consensus: A horizontal scaling framework for blockchains
A. De la Rocha, E. Kokoris Kogias, J.M. Soares, M. Vukolic, in:, 42nd International Conference on Distributed Computing Systems Workshops, IEEE, 2022, pp. 45–52.

Solving the Hamilton cycle problem fast on average
M. Anastos, in:, 63rd Annual IEEE Symposium on Foundations of Computer Science, IEEE, 2022, pp. 919–930.

New results on AVCs with omniscient and myopic adversaries
A.K. Yadav, M. Alimohammadi, Y. Zhang, A.J. Budkuley, S. Jaggi, in:, 2022 IEEE International Symposium on Information Theory, IEEE, 2022, pp. 2535–2540.

Lower bounds on list decoding capacity using error exponents
Y. Zhang, S. Vatedka, in:, 2022 IEEE International Symposium on Information Theory, IEEE, 2022, pp. 1324–1329.

List-decodable zero-rate codes for the Z-channel
N. Polyanskii, Y. Zhang, in:, 2022 IEEE International Symposium on Information Theory, IEEE, 2022, pp. 2553–2558.

Revisiting the adversarial robustness-accuracy tradeoff in robot learning
M. Lechner, A. Amini, D. Rus, T.A. Henzinger, ArXiv (n.d.).

Practical asynchronous distributed key generation
S. Das, T. Yurek, Z. Xiang, A. Miller, E. Kokoris Kogias, L. Ren, in:, 2022 IEEE Symposium on Security and Privacy, IEEE, 2022, pp. 2518–2534.

Quadratically constrained myopic adversarial channels
Y. Zhang, S. Vatedka, S. Jaggi, A.D. Sarwate, IEEE Transactions on Information Theory 68 (2022) 4901–4948.

Decoding Reed-Muller codes with successive codeword permutations
N. Doan, S.A. Hashemi, M. Mondelli, W.J. Gross, IEEE Transactions on Communications 70 (2022) 7134–7145.

Parallelism versus latency in simplified successive-cancellation decoding of polar codes
S.A. Hashemi, M. Mondelli, A. Fazeli, A. Vardy, J. Cioffi, A. Goldsmith, IEEE Transactions on Wireless Communications 21 (2022) 3909–3920.