Results 21 to 30 of about 42 (42)

AI‐Driven Defect Engineering for Advanced Thermoelectric Materials

open access: yesAdvanced Materials, Volume 37, Issue 35, September 4, 2025.
This review presents how AI accelerates the design of defect‐tuned thermoelectric materials. By integrating machine learning with high‐throughput data and physics‐informed representations, it enables efficient prediction of thermoelectric performance from complex defect landscapes.
Chu‐Liang Fu   +9 more
wiley   +1 more source

Applications of Artificial Intelligence in Biotech Drug Discovery and Product Development

open access: yesMedComm, Volume 6, Issue 8, August 2025.
Artificial intelligence is reshaping drug discovery by enhancing molecular design, target engagement, and therapeutic delivery with unprecedented precision and efficiency. This review summarizes recent advances in AI‐driven approaches across small molecule design, protein binder development, antibody engineering, and nanoparticle‐based delivery systems,
Yuan‐Tao Liu   +14 more
wiley   +1 more source

Advancing Design Strategy of PROTACs for Cancer Therapy

open access: yesMedComm, Volume 6, Issue 7, July 2025.
A comprehensive update on the PROTAC design, and highlighting the role of artificial intelligence in the PROTAC design for cancer therapy. ABSTRACT Proteolysis targeting chimeras (PROTACs) have emerged as a groundbreaking class of anticancer therapeutics.
Hang Luo   +5 more
wiley   +1 more source

The birational geometry of GIT quotients

open access: yesBulletin of the London Mathematical Society, Volume 57, Issue 7, Page 1952-1967, July 2025.
Abstract Geometric invariant theory (GIT) produces quotients of algebraic varieties by reductive groups. If the variety is projective, this quotient depends on a choice of polarisation; by work of Dolgachev–Hu and Thaddeus, it is known that two quotients of the same variety using different polarisations are related by birational transformations.
Ruadhaí Dervan, Rémi Reboulet
wiley   +1 more source

On the stack of 0‐dimensional coherent sheaves: Motivic aspects

open access: yesBulletin of the London Mathematical Society, Volume 57, Issue 6, Page 1607-1649, June 2025.
Abstract Let X$X$ be a variety. In this survey, we study (decompositions of) the motivic class, in the Grothendieck ring of stacks, of the stack Cohn(X)$\mathcal {C}\hspace{-2.5pt}{o}\hspace{-1.99997pt}{h}^n(X)$ of 0‐dimensional coherent sheaves of length n$n$ on X$X$. To do so, we review the construction of the support map Cohn(X)→Symn(X)$\mathcal {C}\
Barbara Fantechi, Andrea T. Ricolfi
wiley   +1 more source

Parabolic subgroups in characteristics 2 and 3

open access: yesJournal of the London Mathematical Society, Volume 111, Issue 6, June 2025.
Abstract This text brings to an end the classification of non‐reduced parabolic subgroups in positive characteristic, especially 2 and 3: they are all obtained as intersections of parabolics having maximal reduced part. We prove this result and deduce a few geometric consequences on rational projective homogeneous varieties.
Matilde Maccan
wiley   +1 more source

Current Advances in Genome Modeling Across Length Scales

open access: yesWIREs Computational Molecular Science, Volume 15, Issue 3, May/June 2025.
ABSTRACT The physical organization of DNA within the nucleus is fundamental to a wide range of biological processes. The experimental investigation of the structure of genomic DNA remains challenging due to its large size and hierarchical arrangement. These challenges present considerable opportunities for combined experimental and modeling approaches.
Eric R. Schultz   +5 more
wiley   +1 more source

InstaMap: instant‐NGP for cryo‐EM density maps

open access: yesActa Crystallographica Section D, Volume 81, Issue 4, Page 147-169, April 2025.
Cryo‐EM density‐map inference, with fixed pose and contrast transfer function, using a multi‐resolution hash‐encoding framework called instant‐NGP, is described, together with its extension to heterogeneity inference by bending space with a per‐image vector field.Despite the parallels between problems in computer vision and cryo‐electron microscopy ...
Geoffrey Woollard   +7 more
wiley   +1 more source

Recent Advances in Machine Learning‐Assisted Multiscale Design of Energy Materials

open access: yesAdvanced Energy Materials, Volume 15, Issue 9, March 4, 2025.
This review highlights recent advances in machine learning (ML)‐assisted multiscale design of energy materials, currently achievable through generative structure prediction, the discovery of complex atomic structure–property relationships, accelerated prediction of diverse material and interface properties, deeper insights into microstructure effects ...
Bohayra Mortazavi
wiley   +1 more source
Some of the next articles are maybe not open access.

The equivariant Chow rings of quot schemes

Pacific Journal of Mathematics, 2008
Tom Braden, Frank Sottile, Braden Tom
exaly  

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