Results 141 to 150 of about 16,394 (216)

A review of applications of machine learning in quantum dots research. [PDF]

Discov Nano
Malashin I, Martysyuk D, Nelyub V, Borodulin A, Gantimurov A, Tynchenko V.   +5 more
europepmc   +1 more source

Self‐Similar Blowup for the Cubic Schrödinger Equation

Communications on Pure and Applied Mathematics, EarlyView.
ABSTRACT We give a rigorous proof for the existence of a finite‐energy, self‐similar solution to the focusing cubic Schrödinger equation in three spatial dimensions. The proof is computer‐assisted and relies on a fixed point argument that shows the existence of a solution in the vicinity of a numerically constructed approximation.
Roland Donninger, Birgit Schörkhuber
wiley   +1 more source

Accurate prediction of tensorial spectra using equivariant graph neural network. [PDF]

Nat Commun
Hsu TW, Fang Z, Bansil A, Yan Q.
europepmc   +1 more source

Stopping Power of Electron Liquid for Slow Quantum Projectiles

Contributions to Plasma Physics, EarlyView.
ABSTRACT We revisit the problem of the deceleration of a charge moving in a medium. In the low‐velocity limit of the projectile, we construct the fully nonlinear (in the charge–target interaction) theory of the stopping power (SP), which goes beyond the classical Ehrenfest dynamics.
Vladimir U. Nazarov, E. K. U. Gross
wiley   +1 more source

Subway door fault prediction employing stacking ensemble learning. [PDF]

Sci Rep
Song H, Tang S, Xia J, Zhang L, Kang H, Li P.   +5 more
europepmc   +1 more source

AI‐Driven Optimization of a Hybrid PV–Wind–BESS Microgrid for a Rural Educational Institution in Developing Countries

Energy Science &Engineering, EarlyView.
An AI‐driven CNN–LSTM forecasting framework is integrated with HOMER Pro to optimally design a grid‐connected PV–wind–BESS microgrid for a rural school in Bangladesh, achieving 91.7% renewable penetration, low energy cost (0.0397 USD/kWh), and an 81.5% reduction in CO2 emissions. ABSTRACT Hybrid renewable microgrid planning in HOMER Pro often relies on
Robiul Khan, Md. Wajed Ali, Md. Feroz Ali, Md. Shafiul Alam, Mohammad Ali, Imil Hamda Imran   +5 more
wiley   +1 more source

Development and Bayesian Uncertainty Quantification of Coarse-Grained Models of Metals Based on Embedded Atom Method Potentials. [PDF]

J Chem Theory Comput
Sose AT, Gustke T, Bejagam KK, Wang F, Savara A, Deshmukh SA.   +5 more
europepmc   +1 more source

Waste to Hydrogen: Transforming Food Waste Into Biohythane (Bio‐H2 + Bio‐CH4) in a Two‐Stage Reactor With the Aid of a Metal‐Ion Catalyst

Energy Science &Engineering, EarlyView.
This study demonstrates a two‐stage catalytic bioreactor system that converts real food waste into high‐purity biohydrogen and biohythane. In Stage‐1, an enriched Clostridium thermocellum culture combined with Ni2+─Fe2+ bimetallic catalysis enhances hydrolysis efficiency and hydrogenase activity, resulting in a 77% increase in H2 yield and 75.8% purity
K. V. Sreedharan, Debabrata Barik, Ayyar Dinesh, D. Shanmugapriya, M. Santhamoorthy, N. Ashok   +5 more
wiley   +1 more source

Application, Challenges, and Prospects of Non‐Thermal Processing Technologies for Seaweed Protein Extraction—A Review

Food Chemistry International, EarlyView.
This review highlights non‐thermal extraction technologies for seaweed proteins, emphasizing their mechanisms, impacts on protein structure and functionality, and sustainability potential. Key limitations related to species dependence, extract complexity, and scale‐up are discussed to guide future industrial and biorefinery applications.
Rahat Mahmud, Md Fuad Al Hasan, Shuvojit Roy, Tanvir Ahmed   +3 more
wiley   +1 more source

α-decay half-life predictions with support vector machine. [PDF]

Sci Rep
Jalili A, Pan F, Draayer JP, Chen AX, Ren Z.   +4 more
europepmc   +1 more source