Erratum to: Journal of the Korean Physical Society, Vol. 71, No. 10

Shin, Dong Hwa; Heo, Jin Hyuck; Im, Sang Hyuk; Lee, Rena; Kim, Kyubo; Cho, Samju; Lim, Sangwook; Lee, Suk; Shim, Ju Hyun; Huh, Hyun Do; Lee, Sang Hoon; Ahn, Sohyun; Nobi, Ashadun; Lee, Jae Woo; Lim, Hyunwoo; Lee, Hunwoo; Cho, Hyosung; Seo, Changwoo; Je, Uikyu; Park, Chulkyu; Kim, Kyuseok; Kim, Guna; Park, Soyoung; Lee, Dongyeon; Kang, Soo‐Hwan; Lee, Minsik; Cao, Jingtai; Zhao, Xiaohui; Li, Zhaokun; Liu, Wei; Gu, Hanming; Kang, In Ho; Na, Moon Kyong; Seok, Ogyun; Moon, Jeong Hyun; Kim, H. W.; Kim, Sang Cheol; Bahng, Wook; Kim, Nam Kyun; Park, Him Chan; Yang, Chang Heon; Kim, Kyungil; Kim, Youngman; Lee, Kang Seog; Hong, Yoo Seung; Cho, Chun Hyung; Sung, Hyuk-Kee; Hyun, June Won; Kim, Gang Bae; Lee, Ju Ho; Kim, Yeon Jung; Hwang, Seungjin; Jeong, Ji-Hoon; Cho, Seryeyohan; Lee, Jong-Min; Yu, Tae Jun; Lee, Kang Il; Lee, Geon Joon; Park, Gyungsoon; Choi, Eun Ha; Kim, Dong Hwan; Jeong, Jun Seok; Eom, Su keun; Lee, Jae-Gil; Seo, Kwang Seok; Ho, Young; Ko, Young-Joon; Kim, Hyun Soo; Jung, Jong Hoon; Jeong, Inho; Song, Hyunwook; Lee, B. C.; Jang, Hyunchul; Kim, Byongju; Koo, Sang‐Mo; Park, Seran; Ko, Dae Hong; Ahn, Kwang Jun; Cho, Sungwan; Kim, Sang Goon; Hong, Kimin; Shim, Seung Bo; Jo, Myunglae; Cho, Sung Un; Park, Yun Daniel; Kim, Hee Cheol; Kim, Seok

doi:10.3938/jkps.71.1075

Cited by 2 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The purpose of the current study is to evaluate the feasibility of the in-vivo and real time range verification technique using the time structure of the prompt gammas with RMW in passive scattering proton radiotherapy. This study employed the Proteus 235 proton beam nozzle code developed in the National Cancer Center (NCC) based on the Geometry and Tracking4 (Geant4) tool kit using the Monte Carlo (MC) method [8][9][10] and MC commissioning was performed by comparing the measured and simulated proton dose distribution in the water phantom.…”

Section: Introductionmentioning

confidence: 99%

A Monte Carlo study of the relationship between the time structures of prompt gammas and the in-vivo radiation dose in proton therapy

Shin

Min

Shin³

et al. 2015

Journal of the Korean Physical Society

View full text Add to dashboard Cite

For the in vivo range verification in proton therapy, it has been tried to measure the spatial distribution of the prompt gammas generated by the proton-induced interactions with the close relationship with the proton dose distribution. However, the high energy of the prompt gammas and background gammas are still problematic in measuring the distribution. In this study, we suggested a new method determining the in vivo range by utilizing the time structure of the prompt gammas formed with the rotation of a range modulation wheel (RMW) in the passive scattering proton therapy. To validate the Monte Carlo code simulating the proton beam nozzle, axial percent depth doses (PDDs) were compared with the measured PDDs with the varying beam range of 4.73-24.01 cm. And the relationship between the proton dose rate and the time structure of the prompt gammas was assessed and compared in the water phantom. The results of the PDD showed accurate agreement within the relative errors of 1.1% in the distal range and 2.9% in the modulation width. Average dose difference in the modulation was assessed as less than 1.3% by comparing with the measurement. The time structure of prompt gammas was well-matched 2 within 0.39 ms with the proton dose rate, and this could enable the accurate prediction of the in vivo range.

show abstract

Section: Introductionmentioning

confidence: 99%

A Monte Carlo study of the relationship between the time structures of prompt gammas and the in-vivo radiation dose in proton therapy

Shin

Min

Shin³

et al. 2015

Journal of the Korean Physical Society

View full text Add to dashboard Cite

show abstract

Inorganic thermoelectric materials: A review

et al. 2020

View full text Add to dashboard Cite

Summary Thermoelectric generator, which converts heat into electrical energy, has great potential to power portable devices. Nevertheless, the efficiency of a thermoelectric generator suffers due to inefficient thermoelectric material performance. In the last two decades, the performance of inorganic thermoelectric materials has been significantly advanced through rigorous efforts and novel techniques. In this review, major issues and recent advancements that are associated with the efficiency of inorganic thermoelectric materials are encapsulated. In addition, miscellaneous optimization strategies, such as band engineering, energy filtering, modulation doping, and low dimensional materials to improve the performance of inorganic thermoelectric materials are reported. The methodological reviews and analyses showed that all these techniques have significantly enhanced the Seebeck coefficient, electrical conductivity, and reduced the thermal conductivity, consequently, improved ZT value to 2.42, 2.6, and 1.85 for near‐room, medium, and high temperature inorganic thermoelectric material, respectively. Moreover, this review also focuses on the performance of silicon nanowires and their common fabrication techniques, which have the potential for thermoelectric power generation. Finally, the key outcomes along with future directions from this review are discussed at the end of this article.

show abstract

Erratum to: Journal of the Korean Physical Society, Vol. 71, No. 10

Cited by 2 publications

References 0 publications

A Monte Carlo study of the relationship between the time structures of prompt gammas and the in-vivo radiation dose in proton therapy

A Monte Carlo study of the relationship between the time structures of prompt gammas and the in-vivo radiation dose in proton therapy

Inorganic thermoelectric materials: A review

Contact Info

Product

Resources

About