Results 81 to 90 of about 91,891 (247)

Discovery of a Potent Fluorescence Polarization Probe for Identifying USP1 Allosteric Inhibitors

Advanced Science, EarlyView.
This study presents the first ubiquitin‐specific protease 1 (USP1) allosteric fluoroprobe and fluorescence polarization assay, enabling the differentiation of allosteric and catalytic site inhibitors. Further, a novel class of tetrahydroisoquinoline‐based USP1 inhibitors is designed, with compound 14a (USP1 IC50 = 29.9 nM) showing strong selectivity ...
Jiawei Cheng, Peipei Wang, Pengfei Wang, Jiamin Wang, Baiyang Li, Daqing Fang, Jian He, Xiaobei Hu, Weijuan Kan, Yubo Zhou, Chunpu Li, Jia Li, Hong Liu   +12 more
wiley   +1 more source

Global well-posedness and scattering for the defocusing energy-critical nonlinear Schr\"odinger equation in $\R^{1+4}$

, 2006
We obtain global well-posedness, scattering, uniform regularity, and global $L^6_{t,x}$ spacetime bounds for energy-space solutions to the defocusing energy-critical nonlinear Schr\"odinger equation in $\R\times\R^4$.
E. Ryckman, M. Visan, Schrödinger Equation In R   +2 more
core   +3 more sources

Revisiting Target‐Aware de novo Molecular Generation with TarPass: Between Rational Design and Texas Sharpshooter

Advanced Science, EarlyView.
TarPass provides a rigorous benchmark for target‐aware de novo molecular generation by jointly evaluating protein‐ligand interactions, molecular plausibility, and drug‐likeness on 18 well‐studied targets. Results show that current models often fail to consistently surpass random baseline in target‐specific enrichment, while post hoc multi‐tier virtual ...
Rui Qin, Zijie Chen, Yurong Li, Meijing Fang, Longji Shen, Yilong Su, Odin Zhang, Qinghan Wang, Qun Su, Jike Wang, Tingjun Hou, Yu Kang   +11 more
wiley   +1 more source

The Schrödinger–Newton equation and its foundations

New Journal of Physics, 2014
The necessity of quantising the gravitational field is still subject to an open debate. In this paper we compare the approach of quantum gravity, with that of a fundamentally semi-classical theory of gravity, in the weak-field non-relativistic limit.
Mohammad Bahrami, André Großardt, Sandro Donadi, Angelo Bassi   +3 more
doaj   +1 more source

Geometrical interpretations of Bäcklund transformations and certain types of partial differential equations : a thesis presented in partial fulfilment of the requirements for the degree of Master of Science in Mathematics at Massey University [PDF]

, 2000
Page 37 is missing from the original copy.Gauss' Theorema Egregium contains a partial differential equation relating the Gaussian curvature K to components of the metric tensor and its derivatives.
Selvaratnam, Anton Raviraj
core  

Aptamer‐Directed Porous DNA Nanocomposite Hydrogel for Active Pulp Preservation: Immunomodulation, Stem Cell Recruitment and Reparative Dentinogenesis

Advanced Science, EarlyView.
This study presents an injectable DNA‐based porous hydrogel integrating catechol motifs and targeting aptamers for pulpitis management. Upon in situ crosslinking, the scaffold actively recruits endogenous dental pulp stem cells, restores redox homeostasis, and modulates immune responses.
Luhui Cai, Huan Yu, Zihan Ni, Kan Chen, I‐Chen Tsai, Zeyu Bao, Shuo Sun, Weichang Li, Yunhua Chen, Qiong Xu   +9 more
wiley   +1 more source

Accelerating the Fourier split operator method via graphics processing units

, 2010
Current generations of graphics processing units have turned into highly parallel devices with general computing capabilities. Thus, graphics processing units may be utilized, for example, to solve time dependent partial differential equations by the ...
Bauke, Heiko, Keitel, Christoph H.
core   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Structure and Spectroscopic Characterisation of Phenanthroline‐Based Iodobismuthate(III) Complexes Utilised for Raw Acoustic Signal Classification

Advanced Intelligent Discovery, EarlyView.
Memristors based on trimethylsulfonium (phenanthroline)tetraiodobismuthate have been utilised as a nonlinear node in a delayed feedback reservoir. This system allowed an efficient classification of acoustic signals, namely differentiation of vocalisation of the brushtail possum (Trichosurus vulpecula).
Ewelina Cechosz, Gisya Abdi, Andrzej Sławek, Marlena Gryl, Konrad Szaciłowski   +4 more
wiley   +1 more source

AI‐Guided Co‐Optimization of Advanced Field‐Effect Transistors: Bridging Material, Device, and Fabrication Design

Advanced Intelligent Discovery, EarlyView.
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath, Shauryaraj K. Jilkar, Aditya Udgaonkar, Yu (Joe) Lu, Ali Mesbah   +4 more
wiley   +1 more source