Combining machine learning and computational chemistry for predictive insights into chemical systems
Machine learning models are poised to make a transformative impact on chemical sciences
by dramatically accelerating computational algorithms and amplifying insights available from …
by dramatically accelerating computational algorithms and amplifying insights available from …
Enhanced sampling methods for molecular dynamics simulations
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 …
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 …
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 …
about the diversity and abundance of viruses within individual bats, and hence the …
Using metadynamics to explore complex free-energy landscapes
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 …
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 …
atomistic simulations, allowing long-time phenomena to be studied with accessible …
Synthesis of paracrystalline diamond
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 …
depending on whether long-range lattice periodicity is present in the material. The …
Best practices for alchemical free energy calculations
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 …
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
Mixed-matrix membranes (MMMs) have been investigated to render energy-intensive
separations more efficiently by combining the selectivity and permeability performance …
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 …
chemical elements and (meta-) stable geometries that make up matter, is colossal. The first …