Results 171 to 180 of about 72,340 (313)

Flavor tagging TeV jets for physics beyond the Standard Model [PDF]

, 2016
Zack Sullivan, Keith Pedersen
openalex   +1 more source

Enhancing Corrosion Resistance and Mechanical Strength of 3D‐Printed Iron Polylactic Acid for Marine Applications via Laser Surface Texturing

Advanced Engineering Materials, EarlyView.
Laser surface texturing significantly improves the corrosion resistance and mechanical strength of 3D‐printed iron polylactic acid (Ir‐PLA) for marine applications. Optimal laser parameters reduce corrosion by 80% and enhance tensile strength by 25% and ductility by 15%.
Mohammad Rezayat, Mojtaba Karamimoghadam, Mohammadreza Lalegani Dezaki, Ali Zolfagharian, Giuseppe Casalino, Antonio Mateo, Mahdi Bodaghi   +6 more
wiley   +1 more source

Overview of the ESCAPE Dark Matter Test Science Project for astronomers. [PDF]

Open Res Eur
Pearson J, Dickinson H, Sinha S, Serjeant S.   +3 more
europepmc   +1 more source

The Standard Model of Particle Physics and What Lies Beyond: A View from the Bridge

Vijay Nath
openalex   +1 more source

Beyond the Standard Model Physics at the HL-LHC and HE-LHC

, 2018
X. Cid Vidal, M. D’Onofrio, Patrick J. Fox, Riccardo Torre, Keith A Ulmer, Amin Aboubrahim, Andreas Albert, J. Alimena, B. C. Allanach, C. Alpigiani, Mohammad Mahdi Altakach, S. Amoroso, J. K. Anders, Jack Y. Araz, Etera R. Livine, P. Azzi, Ilya D Bobovnikov, Howard Baer, Michael J. Baker, Daniele Barducci, V. Barger, Owen Baron, L. Barranco Navarro, M. Battaglia, A. Bay, Disha Bhatia, Sanjoy Biswas, D. Blöch, D. Bogavac, Christoph Borschensky, M. K. Bugge, Dario Buttazzo, Giacomo Cacciapaglia, L. Cadamuro, A. Calandri, Daniel A Camargo, A. Canepa, L. Carminati, S. Carrá, C. A. Carrillo Montoya, A. Carvalho Antunes De Oliveira, F. L. Castillo, V. Cavaliere, Donatella Cantore-Cavalli, C. Cecchi, Alejandro Celis, A. Cerri, Gurpreet Singh, Amit Chakraborty, Sergei V Chekanov, H. J. Cheng, J. T. Childers, Marco Cirelli, Owen Colegrove, Gennaro Corcella, M. Corradi, Maria Jose Costa Mezquita, R. Covarelli, Nguyen Phuong Dang, Aldo Deandrea, Stefania De Curtis, H. De la Torre, Luigi Delle Rose, D. Del Re, A Demela, Sarah Marie Demers, Radovan Dermíšek, F. De Santis, Kaustubh Deshpande, B. Dey, J. Donini, Anna Kathryn Duncan, V. Dutta, C. Escobar, L. Fanò, Gabriele Ferretti, Juri Fiaschi, Oliver Fischer, Thomas Flacke, Evan Frangipane, Mariana J Frank, G. Frattari, Dylan Cooper Frizzell, Elina Fuchs, Benjamin Fuks, Emidio Gabrielli, James S. Gainer, Y. Gao, J. E. García Navarro, M. H. Genest, S. Giagu, Gian F. Giudice, J. Goh, Maxime Gouzevich, P. Govoni, Admir Greljo, A. Grohsjean, Alfredo Gurrola, G. Gustavino, Claude Guyot   +99 more
openalex   +1 more source

Beyond the Standard Model Physics [PDF]

, 2018
openaire   +1 more source

Geometric Optimization and Mechanical Performance Enhancement of Auxetic Structures for High‐Impact Applications Through Fused Deposition Modeling

Advanced Engineering Materials, EarlyView.
This study explores the mechanical performance of three auxetic structures, identifying a re‐entrant‐star hybrid as the most effective for impact absorption. Finite element simulations and experiments demonstrate significant gains in energy absorption and flexural strength after geometric optimization. This study investigates the mechanical performance
Malik Hassan, Manjusri Misra, Alexander Bardelcik, Stefano Gregori, Amar K. Mohanty   +4 more
wiley   +1 more source

Quantum sensors in space: unveiling the invisible universe. [PDF]

Natl Sci Rev
Wang Y, Huang X, Jiang M, Lin Q, Zheng W, Sun Y, Liu L, Peng X, Zhao Z, Du J.   +9 more
europepmc   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Predicting the Lifespan of Twisted String Actuators Using Empirical and Hybrid Machine Learning Approaches. [PDF]

Sensors (Basel)
Nguyen H, Eang C, Lee S.
europepmc   +1 more source