Combining machine learning and computational chemistry for predictive insights into chemical systems

JA Keith, V Vassilev-Galindo, B Cheng… - Chemical …, 2021 - ACS Publications
Machine learning models are poised to make a transformative impact on chemical sciences
by dramatically accelerating computational algorithms and amplifying insights available from …

Enhanced sampling methods for molecular dynamics simulations

J Hénin, T Lelièvre, MR Shirts, O Valsson… - arXiv preprint arXiv …, 2022 - arxiv.org
Enhanced sampling algorithms have emerged as powerful methods to extend the utility of
molecular dynamics simulations and allow the sampling of larger portions of the …

Bat coronaviruses related to SARS-CoV-2 and infectious for human cells

S Temmam, K Vongphayloth, E Baquero, S Munier… - Nature, 2022 - nature.com
The animal reservoir of SARS-CoV-2 is unknown despite reports of SARS-CoV-2-related
viruses in Asian Rhinolophus bats,,–, including the closest virus from R. affinis, RaTG13 …

Individual bat virome analysis reveals co-infection and spillover among bats and virus zoonotic potential

J Wang, Y Pan, L Yang, W Yang, K Lv, C Luo… - Nature …, 2023 - nature.com
Bats are reservoir hosts for many zoonotic viruses. Despite this, relatively little is known
about the diversity and abundance of viruses within individual bats, and hence the …

Using metadynamics to explore complex free-energy landscapes

G Bussi, A Laio - Nature Reviews Physics, 2020 - nature.com
Metadynamics is an atomistic simulation technique that allows, within the same framework,
acceleration of rare events and estimation of the free energy of complex molecular systems …

Deep learning the slow modes for rare events sampling

L Bonati, GM Piccini… - Proceedings of the …, 2021 - National Acad Sciences
The development of enhanced sampling methods has greatly extended the scope of
atomistic simulations, allowing long-time phenomena to be studied with accessible …

Synthesis of paracrystalline diamond

H Tang, X Yuan, Y Cheng, H Fei, F Liu, T Liang, Z Zeng… - Nature, 2021 - nature.com
Solids in nature can be generally classified into crystalline and non-crystalline states,,,,,–,
depending on whether long-range lattice periodicity is present in the material. The …

Best practices for alchemical free energy calculations

ASJS Mey, B Allen, HEB Macdonald… - arXiv preprint arXiv …, 2020 - arxiv.org
Alchemical free energy calculations are a useful tool for predicting free energy differences
associated with the transfer of molecules from one environment to another. The hallmark of …

Truly combining the advantages of polymeric and zeolite membranes for gas separations

X Tan, S Robijns, R Thür, Q Ke, N De Witte, A Lamaire… - Science, 2022 - science.org
Mixed-matrix membranes (MMMs) have been investigated to render energy-intensive
separations more efficiently by combining the selectivity and permeability performance …

Ab initio machine learning in chemical compound space

B Huang, OA Von Lilienfeld - Chemical reviews, 2021 - ACS Publications
Chemical compound space (CCS), the set of all theoretically conceivable combinations of
chemical elements and (meta-) stable geometries that make up matter, is colossal. The first …