Results 271 to 280 of about 1,660,126 (341)

Dark Matter and Mirror World. [PDF]

Entropy (Basel)
Mohapatra RN.
europepmc   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

The XENONnT dark matter experiment. [PDF]

Eur Phys J C Part Fields
XENON Collaboration, Aprile E, Aalbers J, Abe K, Ahmed Maouloud S, Althueser L, Andrieu B, Angelino E, Angevaare JR, Antochi VC, Antón Martin D, Arneodo F, Balata M, Baudis L, Baxter AL, Bazyk M, Bellagamba L, Biondi R, Bismark A, Brookes EJ, Brown A, Bruenner S, Bruno G, Budnik R, Bui TK, Cai C, Cardoso JMR, Cassese F, Chiarini A, Cichon D, Cimental Chavez AP, Colijn AP, Conrad J, Corrieri R, Cuenca-García JJ, Cussonneau JP, Dadoun O, D'Andrea V, Decowski MP, De Fazio B, Gangi PD, Diglio S, Disdier JM, Douillet D, Eitel K, Elykov A, Farrell S, Ferella AD, Ferrari C, Fischer H, Flierman M, Form S, Front D, Fulgione W, Fuselli C, Gaemers P, Gaior R, Rosso AG, Galloway M, Gao F, Gardner R, Garroum N, Glade-Beucke R, Grandi L, Grigat J, Guan H, Guerzoni M, Guida M, Hammann R, Higuera A, Hils C, Hoetzsch L, Hood NF, Howlett J, Huhmann C, Iacovacci M, Iaquaniello G, Iven L, Itow Y, Jakob J, Joerg F, Joy A, Kara M, Kavrigin P, Kazama S, Kobayashi M, Koltman G, Kopec A, Kuger F, Landsman H, Lang RF, Levinson L, Li I, Li S, Liang S, Lindemann S, Lindner M, Liu K, Loizeau J, Lombardi F, Long J, Lopes JAM, Ma Y, Macolino C, Mahlstedt J, Mancuso A, Manenti L, Marignetti F, Marrodán Undagoitia T, Martella P, Martens K, Masbou J, Masson D, Masson E, Mastroianni S, Mele E, Messina M, Michinelli R, Miuchi K, Molinario A, Moriyama S, Morå K, Mosbacher Y, Murra M, Müller J, Ni K, Nisi S, Oberlack U, Orlandi D, Othegraven R, Paetsch B, Palacio J, Parlati S, Paschos P, Pellegrini Q, Peres R, Peters C, Pienaar J, Pierre M, Plante G, Pollmann TR, Qi J, Qin J, García DR, Rynge M, Shi J, Singh R, Sanchez L, Santos JMFD, Sarnoff I, Sartorelli G, Schreiner J, Schulte D, Schulte P, Schulze Eißing H, Schumann M, Scotto Lavina L, Selvi M, Semeria F, Shagin P, Shi S, Shockley E, Silva M, Simgen H, Stephen J, Stern M, Stillwell BK, Takeda A, Tan PL, Tatananni D, Terliuk A, Thers D, Toschi F, Trinchero G, Tunnell C, Tönnies F, Valerius K, Volta G, Weinheimer C, Weiss M, Wenz D, Westermann J, Wittweg C, Wolf T, Wu VHS, Xing Y, Xu D, Xu Z, Yamashita M, Yang L, Ye J, Yuan L, Zavattini G, Zhong M, Zhu T.   +194 more
europepmc   +1 more source

Complex Cryptographic and User‐Centric Physically Unclonable Functions Enabled by Strain‐Sensitive Nanocrystals via Selective Ligand Exchange

Advanced Functional Materials, EarlyView.
This study investigates electromechanical PUFs that improve on traditional electric PUFs. The electron transport materials are coated randomly through selective ligand exchange. It produces multiple keys and a key with motion dependent on percolation and strain, and approaches almost ideal inter‐ and intra‐hamming distances.
Seungshin Lim, Hanseok Seo, Taesung Park, Byung Ku Jung, Junhyeok Park, Young Kyun Choi, Dae Yang Oh, Soong Ju Oh   +7 more
wiley   +1 more source

Thermal Phase‐Modulation of Thickness‐Dependent CVD‐Grown 2D In2Se3

Advanced Functional Materials, EarlyView.
A comprehensive study of CVD‐grown 2D In2Se3 reveals a distinct thickness‐dependent phase landscape and a reversible, thermally driven transformation between β″ and β* variants. In situ TEM electron diffraction and Raman spectroscopy reveal structural dynamics, while the structural invariance of the α‐phase in ultrathin regimes highlights its stability—
Dasun P. W. Guruge, Zhenhuan Chen, Joseph F. S. Fernando, Chao Zhang, Liangzhi Kou, Konstantin L. Firestein, Dmitri V. Golberg   +6 more
wiley   +1 more source

Six spiral galaxies lacking dark matter. [PDF]

Sci Rep
Chen CY, Hwang CY.
europepmc   +1 more source

Photoluminescent UV Light Modulation via Anisometric Carbon Nanodots for UV–Visible Shutter and UV Sensor

Advanced Functional Materials, EarlyView.
Anisometric carbon nanodots are synthesized directly from a liquid crystal precursor and embedded into polymer network liquid crystals to create soft, multifunctional photonic films. These hybrid devices exhibit polarized photoluminescence, broad UV absorption, and fast, electrically tunable light modulation.
Mangesh D. Patekari, Archana Ramadas, Minhee Yun, Seung Hee Lee, MinSu Kim   +4 more
wiley   +1 more source

Decrypting the phylogeny and metabolism of microbial dark matter in green and red Antarctic snow. [PDF]

ISME Commun
Ren Z, Luo W, Li H, Ding H, Zhang Y.
europepmc   +1 more source

Light‐Responsive Enzyme‐Loaded Nanoparticles for Tunable Adhesion and Mechanical Wound Contraction

Advanced Functional Materials, EarlyView.
This study presents a photoactivatable enzyme‐loaded mesoporous nanoparticle system (MPDA_PaTy) that enables light‐triggered tunable tissue adhesion and facilitates mechanical wound contraction. Controlled enzymatic crosslinking at tissue or hydrogel interfaces allows on‐demand adhesion.
Junghyeon Ko, Hyeon‐Jin Kim, Jeong‐Uk Kim, Seh Ri Oh, Tae Hoon Kang, Junghwan Byun, Uk‐Jae Lee, Minglin Ma, Su‐Hwan Kim, Byung‐Gee Kim, Nathaniel S. Hwang   +10 more
wiley   +1 more source

Cluefish: mining the dark matter of transcriptional data series with over-representation analysis enhanced by aggregated biological prior knowledge. [PDF]

NAR Genom Bioinform
Franklin E, Billoir E, Veber P, Ohanessian J, Delignette-Muller ML, Prud'homme SM.   +5 more
europepmc   +1 more source